Signal-Driven Computations in Speech Processing

Learning a language requires both statistical computations to identify words in speech and algebraic-like computations to discover higher level (grammatical) structure. Here we show that these computations can be influenced by subtle cues in the speech signal. After a short familiarization to a continuous speech stream, adult listeners are able to segment it using powerful statistics, but they fail to extract the structural regularities included in the stream even when the familiarization is greatly extended. With the introduction of subliminal segmentation cues, however, these regularities can be rapidly captured.

[1]  S Pinker,et al.  Rules of language. , 1991, Science.

[2]  J. Hayes.  Cognition and the development of language , 1970 .

[3]  E. Newport,et al.  Facilitating the acquisition of syntax with cross-sentential cues to phrase structure , 1989 .

[4]  Scott P. Johnson,et al.  Visual statistical learning in infancy: evidence for a domain general learning mechanism , 2002, Cognition.

[5]  J. Mehler,et al.  Do infants perceive word boundaries? An empirical study of the bootstrapping of lexical acquisition. , 1994, The Journal of the Acoustical Society of America.

[6]  Elizabeth Hughes,et al.  Proceedings of the 21th annual Boston University Conference on Language Development , 1997 .

[7]  J. Morton,et al.  Perceptual centers (P-centers). , 1976 .

[8]  E. Newport,et al.  WORD SEGMENTATION : THE ROLE OF DISTRIBUTIONAL CUES , 1996 .

[9]  R N Aslin,et al.  Statistical Learning by 8-Month-Old Infants , 1996, Science.

[10]  Peter M. Vishton,et al.  Rule learning by seven-month-old infants. , 1999, Science.

[11]  Mark S. Seidenberg,et al.  Language Acquisition and Use: Learning and Applying Probabilistic Constraints , 1997, Science.

[12]  S. C. Howell,et al.  Proceedings of the 24th Annual Boston University Conference on Child Development , 2003 .

[13]  James L. Morgan,et al.  Signal to syntax : bootstrapping from speech to grammar in early acquisition , 1996 .

[14]  R. Aslin,et al.  PSYCHOLOGICAL SCIENCE Research Article UNSUPERVISED STATISTICAL LEARNING OF HIGHER-ORDER SPATIAL STRUCTURES FROM VISUAL SCENES , 2022 .

[15]  Elizabeth K. Johnson,et al.  Statistical learning of tone sequences by human infants and adults , 1999, Cognition.

[16]  Yaoda Xu,et al.  Limitations of object-based feature encoding in visual short-term memory. , 2002, Journal of experimental psychology. Human perception and performance.

[17]  Eric Wanner,et al.  Language acquisition: the state of the art , 1982 .

[18]  G. Marcus.  The Algebraic Mind: Integrating Connectionism and Cognitive Science , 2001 .

[19]  Elissa L Newport,et al.  Structural packaging in the input to language learning: Contributions of prosodic and morphological marking of phrases to the acquisition of language , 1987, Cognitive Psychology.

[20]  Elissa L. Newport,et al.  The role of constituent structure in the induction of an artificial language , 1981 .